| name | Convergence Analysis of Gradient Descent Optimization |
| description | This paper presents a convergence study of fixed-step gradient descent on a convex quadratic, framed as the computational exemplar of the Research Project Template (https://github.com/docxology/template). The implementation lives in projects/template... |
| tags | ["optimization-algorithms","gradient-descent","convergence-analysis","numerical-methods","mathematical-programming","reproducible-research","infrastructure-automation"] |
| domain | Computational |
| citation | Daniel Ari Friedman (2026). *Convergence Analysis of Gradient Descent Optimization*. Computational. |
| doi | 10.5281/zenodo.20417136 |
Convergence Analysis of Gradient Descent Optimization
Daniel Ari Friedman (2026) · Computational
Context
This work addresses topics in Computational: optimization algorithms, gradient descent, convergence analysis, numerical methods.
Methods
Primary methods and techniques applied in this work:
- Software pipeline design
- Data-driven analysis
Key Findings
Core contributions and results:
- This paper presents a convergence study of fixed-step gradient descent on a convex quadratic, framed as the computational exemplar of the Research Project Template (https://github.com/docxology/templa
- The implementation lives in projects/templates/template_code_project/src/optimizer.py; experiments and figures are orchestrated by projects/templates/template_code_project/scripts/optimization_analysi
Related Works
Validation
Verification points for this work:
- DOI: 10.5281/zenodo.20417136
- PDF SHA-256: cd54b95893501467503fab2c4b432573306bc94f7040085550beb87d094b4e50
- Pairing confidence: strong
- Last checked: 2026-07-01T00:30:10Z
Prerequisites
- Familiarity with optimization algorithms, gradient descent, convergence analysis
- Background in Computational fundamentals
- Access to source repository: N/A
Instructions
When working with this paper:
- Reference the DOI for citation:
10.5281/zenodo.20417136
- Apply methods listed in the Methods section for related analysis.
- Validate findings against the original PDF and metadata.
